Published 2025
Table of Contents:
“...2.7.1 Intelligent soil pollution information collection technology -- 2.7.2 Pollution intelligent identification methods based on deep learning -- 2.8 Conclusion -- References -- Further reading -- 3 Artificial intelligence for remote sensing and climate monitoring -- 3.1 Introduction -- 3.2 Space-to-ground
data transmission -- 3.2.1 Current technology status -- 3.2.2 Compression, coding, and modulation -- 3.2.3 Atmospheric laser communication -- 3.2.4 Real-time onboard
processing -- 3.3 Accurate interpretation of satellite imagery signals -- 3.3.1 Advanced
computation -- 3.3.1.1 Imaging advancements -- 3.3.1.2 Artificial intelligence integration for image enhancement -- 3.3.1.3 Spatial feature extraction and visual enhancement -- 3.3.2 Quantifiable enhancement -- 3.4 Satellite imagery
data collection and evaluation at a time and geographic scale -- 3.4.1 Temporal preservation of satellite
data -- 3.4.2 Space-temporal fusion of multisource satellite imaging -- 3.4.3 Operational method of the smart laser satellite navigation system -- 3.4.4 Potential growth of advanced satellite navigation techniques in China -- 3.5
Data storage management -- 3.5.1 Current technology status -- 3.5.2 Cloud storage -- 3.5.3 NoSQL databases -- 3.6
Data preprocessing -- 3.6.1 Current status of technology -- 3.6.2 Mapreduce
programming model -- 3.6.3 Field programmable gate arrays
processing technology -- 3.6.4 Graphics
processing unit
processing technology -- 3.7 Identification and detection of satellite-borne destination features -- 3.7.1 Separation of conventional satellite imagery goal features -- 3.7.2 Concurrent retrieval of multifactor
data -- 3.8
Data analysis applications -- 3.8.1 Current technological status -- 3.8.2
Data mining -- 3.9 The fourth paradigm -- 3.10 Visualization display -- 3.10.1 Technical status -- 3.10.2 Scientific
computing visualization....
”
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